AI Architect / AI engineering lead

Lever, Inc.; Ireland; Remote; EUR 150,000 - 210,000; Full time

Benefits offered by this job

Fully remote contract

Lead AI architecture

Hands-on with LLMs

LangGraph & LangChain exposure

Claude & Claude Code access

GitHub Copilot integration

International remote

Job summary

Lever, Inc. in Ireland is seeking an AI Architect / AI Engineering Lead to design and build production-grade autonomous and multi-agent AI systems.

You will shape enterprise AI architecture, lead engineering across requirements, coding, testing, CI/CD, and deliver scalable AI-enabled workflows in cloud environments.

Healthcare and claims adjudication experience is a valuable advantage, with a focus on integrating AI into complex software development lifecycles.

Qualifications

• 10+ years in software engineering/DevOps.
• Hands-on with production-grade LLM/agentic AI solutions.
• Strong Java/J2EE and Spring Boot development.
• Experience with React and TypeScript.
• Strong understanding of agentic AI and multi-agent AI systems.
• Experience with LLMs and Retrieval-Augmented Generation (RAG).
• Experience with LangGraph and LangChain.
• Experience with Claude and Claude Code.
• Familiarity with GitHub Copilot and AI-assisted software development.
• Strong Azure experience and cloud-based AI architectures.
• Solid CI/CD and DevOps experience.
• Strong architectural thinking, leadership, and communication.
• Healthcare/claims adjudication experience preferred.

Responsibilities

• Lead the architecture, design, and development of autonomous and multi-agent AI systems.
• Provide technical leadership across enterprise AI architecture and delivery.
• Design and implement AI agents supporting software development workflows (requirements, coding, testing, CI/CD).
• Develop and integrate LLM- and RAG-based solutions using modern agentic frameworks.
• Apply LangGraph, LangChain, Claude, Claude Code, and GitHub Copilot in workflows.
• Collaborate across software engineering, DevOps, and cloud environments for scalability and production readiness.
• Contribute to architecture decisions spanning backend/frontend/cloud and delivery pipelines.
• Drive best practices for AI engineering, multi-agent orchestration, and development automation.

Skills

Java/J2EE

Spring Boot

LLMs

RAG

Multi-agent AI

Architectural thinking

Leadership

Communication

CI/CD

DevOps

Tools

LangGraph

LangChain

Claude

Claude Code

GitHub Copilot

Azure

React

TypeScript

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Architect / AI Engineering Lead based in Ireland.

This is a senior technical leadership role focused on designing and building production-grade autonomous and multi-agent AI systems.
You’ll shape enterprise AI architecture and lead the engineering of intelligent solutions that can support complex software development workflows.
The role spans requirements analysis, coding, testing, code reviews, and CI/CD, bringing AI capabilities deeper into the engineering lifecycle.
You’ll combine strong software engineering foundations with hands-on expertise in LLMs, RAG, and agentic AI architectures.
Working across modern cloud and development technologies, you’ll help translate advanced AI capabilities into reliable production systems.
The position requires both architectural vision and practical engineering leadership, with a strong focus on scalability, automation, and delivery.
Experience in healthcare and claims adjudication is a valuable advantage for applying these capabilities to complex industry workflows.

Accountabilities

• Lead the architecture, design, and development of production-grade autonomous and multi-agent AI systems.
• Provide technical leadership across enterprise AI architecture, engineering practices, and solution delivery.
• Design and implement AI agents that support software development workflows, including requirements, coding, testing, code reviews, and CI/CD.
• Develop and integrate LLM- and RAG-based solutions using modern agentic AI frameworks and technologies.
• Apply LangGraph, LangChain, Claude, Claude Code, and GitHub Copilot to build effective AI-powered engineering workflows.
• Collaborate across software engineering, DevOps, and cloud environments to ensure AI solutions are scalable, reliable, and production-ready.
• Contribute to architecture decisions spanning backend services, frontend applications, cloud infrastructure, and automated delivery pipelines.
• Drive best practices for AI engineering, multi-agent orchestration, development automation, and continuous improvement.

Requirements

• 10+ years of experience in software engineering and/or DevOps.
• Hands-on experience designing and building production-grade LLM or agentic AI solutions.
• Strong Java/J2EE and Spring Boot development experience.
• Experience with React and TypeScript.
• Strong understanding of agentic AI and multi-agent AI systems.
• Practical expertise with LLMs and Retrieval-Augmented Generation (RAG).
• Experience with LangGraph and LangChain.
• Experience working with Claude and Claude Code.
• Familiarity with GitHub Copilot (GHCP) and AI-assisted software development.
• Strong Azure experience and understanding of cloud-based AI architectures.
• Solid CI/CD and DevOps experience.
• Strong architectural thinking, technical leadership, problem-solving, and communication skills.
• Healthcare and/or claims adjudication experience is preferred.

Benefits

• Fully remote contract position.
• Opportunity to lead the architecture of production-grade autonomous and multi-agent AI systems.
• Hands-on work with advanced LLM, RAG, and agentic AI technologies.
• Exposure to modern AI engineering tools including LangGraph, LangChain, Claude, Claude Code, and GitHub Copilot.
• Opportunity to combine enterprise architecture, software engineering, and AI leadership.
• Work focused on applying AI to real-world software development and automation workflows.
• International remote working environment.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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